Trading off delay and energy saving through Advanced Sleep Modes in 5G RANs
While designed for being energy efficient, the deployment of 5G networks will further
increase Radio Access Networks (RANs) energy consumption with the twofold effect to raise …
increase Radio Access Networks (RANs) energy consumption with the twofold effect to raise …
Energy-efficient and load-proportional eNodeB for 5G user-centric networks: A multilevel sleep strategy mechanism
Today, dense network deployment is being considered as one of the effective strategies to
meet the capacity and connectivity demands of the fifth-generation (5G) cellular system …
meet the capacity and connectivity demands of the fifth-generation (5G) cellular system …
Two time-scale energy and spectrum allocation for MEC networks with hybrid energy supplies
W Zhang, Z Shen, M Qin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Integrating power grid and renewable energy to charge mobile-edge computing (MEC)
server is a promising solution for green networks, which can reduce the energy consumption …
server is a promising solution for green networks, which can reduce the energy consumption …
Energy Efficiency in a Base Station of 5G Cellular Networks using M/G/1 Queue with Multiple Sleeps and N-Policy
Reducing energy consumption is the vital goal of green communication. Base station (BS) is
a radio receiver/transmitter that serves as the hub of the local wireless network. It is a …
a radio receiver/transmitter that serves as the hub of the local wireless network. It is a …
[HTML][HTML] SMDP-based sleep policy for base stations in heterogeneous cellular networks
J Wu, Y Li, H Zhuang, Z Pan, G Wang, Y ** approach for dependable coverage in heterogeneous cellular networks
Base station (BS) slee** technology has become one of the significant technologies in fifth‐
generation green communications. However, enormous communication overhead and …
generation green communications. However, enormous communication overhead and …
Implementation of a cloud-based, traffic aware and energy efficient management of base stations' activity
An implementation of a cloud-based and traffic aware strategy for the management of base
stations' activity is proposed, based in the load measurements timeseries analysis and …
stations' activity is proposed, based in the load measurements timeseries analysis and …
The role and applications of machine learning in future self-organizing cellular networks
In this chapter, a brief overview of the role and applications of machine learning (ML)
algorithms in future wireless cellular networks is presented, more specifically, in the context …
algorithms in future wireless cellular networks is presented, more specifically, in the context …